Triple

T10949353
Position Surface form Disambiguated ID Type / Status
Subject Alasdair Gray E258684 entity
Predicate notableWork P4 FINISHED
Object 1982, Janine
"1982, Janine" is a formally experimental, erotically charged and politically infused novel by Scottish writer Alasdair Gray, exploring memory, fantasy, and personal crisis through a fragmented narrative.
E895763 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1982, Janine | Statement: [Alasdair Gray, notableWork, 1982, Janine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1982, Janine
Context triple: [Alasdair Gray, notableWork, 1982, Janine]
  • A. Janeane
    Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
  • B. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • C. Jeane
    Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
  • D. Janice
    Janice is a feminine given name commonly used in English-speaking countries.
  • E. Janet Julian
    Janet Julian is an American actress known for her roles in film and television, including a notable appearance in the crime drama "King of New York."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 1982, Janine
Triple: [Alasdair Gray, notableWork, 1982, Janine]
Generated description
"1982, Janine" is a formally experimental, erotically charged and politically infused novel by Scottish writer Alasdair Gray, exploring memory, fantasy, and personal crisis through a fragmented narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 1982, Janine
Target entity description: "1982, Janine" is a formally experimental, erotically charged and politically infused novel by Scottish writer Alasdair Gray, exploring memory, fantasy, and personal crisis through a fragmented narrative.
  • A. Janeane
    Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
  • B. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • C. Jeane
    Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
  • D. Janice
    Janice is a feminine given name commonly used in English-speaking countries.
  • E. Janet Julian
    Janet Julian is an American actress known for her roles in film and television, including a notable appearance in the crime drama "King of New York."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ec7028819084f5ce2035a128e4 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c4a75688190894c83b8964509a6 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.